Borgosesia vs Ligorna: result 1-1 and analysis
Serie D - Girone ARegular Season - 7Kick-off on October 13, 2019 at 01:00 PM (UTC)Stadio Comunale, Borgosesia
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What was the result of Borgosesia vs Ligorna?
Borgosesia and Ligorna drew 1-1 on October 13, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Borgosesia have 2 wins, 3 draws and 1 defeat; Ligorna have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Ghivizzano Borgo Mozzano(away) | 0-3 | Serie D - Girone A |
| Sep 29, 2019 | Casale(home) | 2-0 | Serie D - Girone A |
| Sep 22, 2019 | Real Forte Querceta(away) | 1-1 | Serie D - Girone A |
| Sep 15, 2019 | Chieri(home) | 1-1 | Serie D - Girone A |
| Sep 8, 2019 | Lucchese(home) | 1-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2019 | Lavagnese(home) | 4-3 | Serie D - Girone A |
| Oct 6, 2019 | Vado(home) | 0-0 | Serie D - Girone A |
| Sep 29, 2019 | Bra(away) | 2-0 | Serie D - Girone A |
| Sep 15, 2019 | Fezzanese(away) | 1-3 | Serie D - Girone A |
| Sep 8, 2019 | Caronnese(home) | 0-3 | Serie D - Girone A |
How many goals should we expect?
Borgosesia score 1.5 and concede 1.5 goals per match over their last 6; Ligorna score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borgosesia | 1.5 | 1.5 | 1 | 4/6 | 2/6 |
| Ligorna | 1.2 | 1.7 | 2 | 2/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Borgosesia sit 15th in Serie D - Girone A (6 points from 6 matches) and Ligorna sit 4th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Ligorna | 6 | 3 | 1 | 2 | 11 | 10 | 10 |
| 15 | Borgosesia | 6 | 1 | 3 | 2 | 5 | 7 | 6 |
A question about Borgosesia vs Ligorna?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy